Cybersecurity Enterprise Data Architect

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In today’s world, vast amounts of information fuel our operations. Data is more valuable than ever before. Protecting data and information systems is central to conducting business, and everyone in EY Information Security plays a critical role. Join a global team of over 900 professionals who collaborate to support EY's business by safeguarding both EY and client information assets! Our Information Security experts enable EY to operate securely, deliver secure products and services, and detect and respond swiftly to security events as they occur.

Together, our dedicated team's efforts help protect the EY brand and build client trust.

Within Information Security, we integrate risk strategy, digital identity, cyber defense, application security, and technology solutions while considering the entire security lifecycle. You will join a team of hardworking, security-focused individuals dedicated to supporting, protecting, and enabling the business through innovative, secure solutions that provide speed to market and business value.

The Security Technology Services (STS) group is a division of Information Security that ensures secure access to systems and information for more than 400,000 individuals across over 150 countries. We are seeking a highly skilled Cybersecurity Enterprise Data Architect to join our team, focusing on both business and technical data models within Information Security. The ideal candidate will possess deep expertise in generative AI, secure data architectures, governance, and cloud platforms.

This role will concentrate on modernizing and designing data systems that enable trustworthy and explainable AI applications while ensuring security and compliance.

As a Data Architect on the STS team, you will be responsible for transforming strategic plans into actionable solutions by producing architectural designs, leading the development and implementation of data systems, and providing security guidance to project teams. You will oversee experimental projects to identify the best technology choices for integration into EY's infrastructure, leveraging your expertise in generative AI and collaborating with cross-functional teams to drive continuous improvement through performance monitoring and training initiatives.

• Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps

• Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms

• Collaborate closely with the Strategy team to both influence and incorporate organizational strategy

• Manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps

• Connect with key stakeholders, cybersecurity experts, and operational teams within the Information Security department to create scalable security solutions

• Translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards

• Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company

• Establish and maintain governance frameworks that ensure data integrity, security, and compliance across all data systems and applications, integrating risk management principles into the design and operational processes

• Collaborate with Enterprise Architects to ensure solutions align with the company's long-term goals, adhere to design guidelines, and contribute to project direction when necessary

• Work with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions

• Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to gather requirements, facilitate discussions, and ensure that data solutions meet business needs and compliance requirements

• Translate business requirements into technical specifications for solutions, considering risks, dependencies, costs, and the overall risk of the technical solution

• Lead the development of secure semantic retrieval-augmented generation (RAG) architectures that effectively manage and interconnect structured & unstructured data

• Integrate large language models (LLMs) with effective metadata governance and ontology enrichment processes

• Monitor industry trends, emerging technologies, and competitive landscape, providing insights and recommendations to senior leadership for strategic decision-making

• Provide data architecture thought leadership at an enterprise level

• Select and implement database management systems that meet the…